Invalid model specified: Please ensure the model name is correct.

The `` status error in the Mistral AI API, or any API for that matter, typically indicates a "Bad Request," meaning the server could not understand the request due to invalid syntax or configuration. Here are some possible reasons for this error in the context of the Mistral AI API or similar APIs:

Invalid API Key or Headers

The API key or the headers, especially the Authorization field, might be incorrectly set or missing, leading to the server rejecting the request[1’.

Incorrect API Endpoint or Model

Using an invalid or non-permitted model can result in a 400 error. For example, if the model specified is not supported by the API, the server will return this error.

Extra or Incorrect Parameters

Passing extra parameters that are not allowed by the API or not setting the correct configuration for these parameters can trigger a 400 error. For instance, passing parameters like n when extra-parameters is not set to pass-through can cause this issue.

Rate Limiting and Throttling

Exceeding the rate limits imposed by the API can also lead to a 400 error. If the API requests are made too frequently, the server may reject them due to rate limiting.

Middleware or Configuration Issues

Incorrect configuration of the HTTP client library (such as Axios) or middleware issues can also result in a 400 error. This includes misconfigurations in the base URL, headers, or other request parameters.

API Compatibility Issues

If the API provider does not support the exact structure or requirements of another API (e.g., OpenAI), it can lead to compatibility issues and result in a 400 error.